This is a repository for my books that I "have/have need/had" read. Also I wrote a topics of them.
algorithms (en) - https://pd.daffodilvarsity.edu.bd/course/material/book-430/pdf_content
grokaem (ru) - https://www.scribd.com/document/355548373/Grokaem-algoritmy
Models of computation (en) - https://jeffe.cs.illinois.edu/teaching/algorithms/models/all-models.pdf
Competitive Programming (en) - https://cses.fi/book/book.pdf
Quantum mechanic (en) - https://www.fisica.net/mecanica-quantica/Griffiths%20-%20Introduction%20to%20quantum%20mechanics.pdf
Qiskit (en) - https://docs.quantum.ibm.com
QML (en) - https://qiskit-community.github.io/qiskit-machine-learning/
Quantum programming in Depth (en) - https://www.manning.com/books/quantum-programming-in-depth
Quantum physic for programming (en) - https://www-thphys.physics.ox.ac.uk/people/JamesBinney/qb.pdf
basic physic (ru) - https://www.at.alleng.org/d/phys/phys122.html
quantum physic (en) - https://www.researchgate.net/profile/Israa-Kamil-Ahmed/publication/342693042_Quantum_Physics/links/5f00d59c45851550508b2e2d/Quantum-Physics.pdf
csharp docs (ru) - http://csharpbook.sakutin.ru/оглавление/
c basic (en) - http://cslabcms.nju.edu.cn/problem_solving/images/c/cc/The_C_Programming_Language_%282nd_Edition_Ritchie_Kernighan%29.pdf
Python Data Science Handbook (en) - https://archive.org/details/python-data-science-handbook.pdf/page/474/mode/2up
go basic - https://www.golang-book.com/public/pdf/gobook.pdf
c# architecture (en) - https://raw.githubusercontent.com/dotnet-architecture/eBooks/main/current/architecting-modern-web-apps-azure/Architecting-Modern-Web-Applications-with-ASP.NET-Core-and-Azure.pdf
Math-base (en) - https://ncert.nic.in/textbook.php?kemh1=0-16
trigonometry (ru) - https://old.mccme.ru/free-books/lvovski/trig.pdf
olympiads (ru)- https://www.scribd.com/document/707024204/Wild-Mathing-Matematika
basic math (en) - https://www.ulm.edu.pk/departments/admin/upload/downloads/202110030921.pdf
MatAn (ru) - https://math.uchicago.edu/~eskin/math203/Analiz%201%20(2012).pdf
Math Statistic (en) - https://egrcc.github.io/docs/math/all-of-statistics.pdf